agentleFS
OpenxIntelligenceOpenxIntelligence/Coding-Agent-Skills/content-research-writer/SKILL.md

content-research-writer

Skill4 starsChanged 25 days agoMITView on GitHub

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

73 other projects use a version of this, 19 of them edited; 0 new projects in the last 4 weeks, against 1 the 4 before.

Adopted by

Cooling: 0 new projects took it in the last 4 weeks, 0× the 4 weeks before.thin data

Week of Sep 13: 1 new projectWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 0 new projectsWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 1 in all, so this is a hint, not a trend.

Most recently taken up by

Used with

Projects with it also use connect-apps, llm-application-dev and 3 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ArogyaReddySkill

    connect-apps

    Connect Claude to external apps like Gmail, Slack, GitHub. Use this skill when the user wants to send emails, create issues, post messages, or take actions in external services.

    Also in 19 projects that use this

  • pepebot-spaceSkill

    llm-application-dev

    Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.

    Also in 4 projects that use this

  • trendinuxSkill

    twitter-algorithm-optimizer

    Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

    Also in 13 projects that use this

  • ArogyaReddySkill

    competitive-ads-extractor

    Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.

    Also in 30 projects that use this

  • guaderramaSkill

    lead-research-assistant

    Identifies and qualifies potential leads by analyzing products/services, understanding ideal customer profiles, conducting intelligent web research using Bright Data MCP tools, and providing actionable outreach strategies. Use when researching leads, prospecting, qualifying contacts, analyzing companies, enriching lead data, or creating outreach campaigns.

    Also in 27 projects that use this

The file

Show its rules and text

We split this skill into the rules it gives an agent

20 rules. 0 are common, 20 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 28 edited versions we read keep these.

  • 20

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create a dedicated folder for your article:

    line 35
  2. Distinctive:

    Create your draft file:

    line 41
  3. Distinctive:

    When a user requests writing assistance:

    line 77
  4. Distinctive:

    When user requests research on a topic:

    line 142
  5. Distinctive:

    Search for relevant information

    line 144
  6. Distinctive:

    Add citations in requested format

    line 147
  7. Distinctive:

    When user shares an introduction, analyze and strengthen:

    line 175
  8. Distinctive:

    Learn their style: Read existing writing samples

    line 253
  9. Distinctive:

    Respect choices: If they prefer their version, support it

    line 256
  10. Distinctive:

    When draft is complete, provide comprehensive feedback:

    line 298
  11. Distinctive:

    Write introduction → get feedback

    line 454
  12. Distinctive:

    Write body sections → feedback each

    line 455
  13. Distinctive:

    Write conclusion → final review

    line 456
  14. Distinctive:

    Write with strong POV

    line 478
  15. Distinctive:

    Save research separately: Keep a research.md file

    line 486
  16. Distinctive:

    Read aloud: Use feedback to identify clunky sentences

    line 488
  17. Distinctive:

    Take breaks: Write, get feedback, pause, revise

    line 490
  18. Distinctive:

    Verify sources before citing

    line 512
  19. Distinctive:

    Use recent data when possible

    line 513
  20. Distinctive:

    Ask questions: "Does this flow logically?"

    line 520

“Common” is measured: kept by at least 6 in 10 of the 28 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Content Research Writer

This skill acts as your writing partner, helping you research, outline, draft, and refine content while maintaining your unique voice and style.

When to Use This Skill

  • Writing blog posts, articles, or newsletters
  • Creating educational content or tutorials
  • Drafting thought leadership pieces
  • Researching and writing case studies
  • Producing technical documentation with sources
  • Writing with proper citations and references
  • Improving hooks and introductions
  • Getting section-by-section feedback while writing

What This Skill Does

  1. Collaborative Outlining: Helps you structure ideas into coherent outlines
  2. Research Assistance: Finds relevant information and adds citations
  3. Hook Improvement: Strengthens your opening to capture attention
  4. Section Feedback: Reviews each section as you write
  5. Voice Preservation: Maintains your writing style and tone
  6. Citation Management: Adds and formats references properly
  7. Iterative Refinement: Helps you improve through multiple drafts

How to Use

Setup Your Writing Environment

Create a dedicated folder for your article:

mkdir ~/writing/my-article-title
cd ~/writing/my-article-title

Create your draft file:

touch article-draft.md

Open Claude Code from this directory and start writing.

Basic Workflow

  1. Start with an outline:
Help me create an outline for an article about [topic]
  1. Research and add citations:
Research [specific topic] and add citations to my outline
  1. Improve the hook:
Here's my introduction. Help me make the hook more compelling.
  1. Get section feedback:
I just finished the "Why This Matters" section. Review it and give feedback.
  1. Refine and polish:
Review the full draft for flow, clarity, and consistency.

Instructions

When a user requests writing assistance:

  1. Understand the Writing Project

    Ask clarifying questions:

    • What's the topic and main argument?
    • Who's the target audience?
    • What's the desired length/format?
    • What's your goal? (educate, persuade, entertain, explain)
    • Any existing research or sources to include?
    • What's your writing style? (formal, conversational, technical)
  2. Collaborative Outlining

    Help structure the content:

    # Article Outline: [Title]
    
    ## Hook
    - [Opening line/story/statistic]
    - [Why reader should care]
    
    ## Introduction
    - Context and background
    - Problem statement
    - What this article covers
    
    ## Main Sections
    
    ### Section 1: [Title]
    - Key point A
    - Key point B
    - Example/evidence
    - [Research needed: specific topic]
    
    ### Section 2: [Title]
    - Key point C
    - Key point D
    - Data/citation needed
    
    ### Section 3: [Title]
    - Key point E
    - Counter-arguments
    - Resolution
    
    ## Conclusion
    - Summary of main points
    - Call to action
    - Final thought
    
    ## Research To-Do
    - [ ] Find data on [topic]
    - [ ] Get examples of [concept]
    - [ ] Source citation for [claim]

    Iterate on outline:

    • Adjust based on feedback
    • Ensure logical flow
    • Identify research gaps
    • Mark sections for deep dives
  3. Conduct Research

    When user requests research on a topic:

    • Search for relevant information
    • Find credible sources
    • Extract key facts, quotes, and data
    • Add citations in requested format

    Example output:

    ## Research: AI Impact on Productivity
    
    Key Findings:
    
    1. **Productivity Gains**: Studies show 40% time savings for 
       content creation tasks [1]
    
    2. **Adoption Rates**: 67% of knowledge workers use AI tools 
       weekly [2]
    
    3. **Expert Quote**: "AI augments rather than replaces human 
       creativity" - Dr. Jane Smith, MIT [3]
    
    Citations:
    [1] McKinsey Global Institute. (2024). "The Economic Potential 
        of Generative AI"
    [2] Stack Overflow Developer Survey (2024)
    [3] Smith, J. (2024). MIT Technology Review interview
    
    Added to outline under Section 2.
  4. Improve Hooks

    When user shares an introduction, analyze and strengthen:

    Current Hook Analysis:

    • What works: [positive elements]
    • What could be stronger: [areas for improvement]
    • Emotional impact: [current vs. potential]

    Suggested Alternatives:

    Option 1: [Bold statement]

    [Example] Why it works: [explanation]

    Option 2: [Personal story]

    [Example] Why it works: [explanation]

    Option 3: [Surprising data]

    [Example] Why it works: [explanation]

    Questions to hook:

    • Does it create curiosity?
    • Does it promise value?
    • Is it specific enough?
    • Does it match the audience?
  5. Provide Section-by-Section Feedback

    As user writes each section, review for:

    # Feedback: [Section Name]
    
    ## What Works Well ✓
    - [Strength 1]
    - [Strength 2]
    - [Strength 3]
    
    ## Suggestions for Improvement
    
    ### Clarity
    - [Specific issue] → [Suggested fix]
    - [Complex sentence] → [Simpler alternative]
    
    ### Flow
    - [Transition issue] → [Better connection]
    - [Paragraph order] → [Suggested reordering]
    
    ### Evidence
    - [Claim needing support] → [Add citation or example]
    - [Generic statement] → [Make more specific]
    
    ### Style
    - [Tone inconsistency] → [Match your voice better]
    - [Word choice] → [Stronger alternative]
    
    ## Specific Line Edits
    
    Original:
    > [Exact quote from draft]
    
    Suggested:
    > [Improved version]
    
    Why: [Explanation]
    
    ## Questions to Consider
    - [Thought-provoking question 1]
    - [Thought-provoking question 2]
    
    Ready to move to next section!
  6. Preserve Writer's Voice

    Important principles:

    • Learn their style: Read existing writing samples
    • Suggest, don't replace: Offer options, not directives
    • Match tone: Formal, casual, technical, friendly
    • Respect choices: If they prefer their version, support it
    • Enhance, don't override: Make their writing better, not different

    Ask periodically:

    • "Does this sound like you?"
    • "Is this the right tone?"
    • "Should I be more/less [formal/casual/technical]?"
  7. Citation Management

    Handle references based on user preference:

    Inline Citations:

    Studies show 40% productivity improvement (McKinsey, 2024).

    Numbered References:

    Studies show 40% productivity improvement [1].
    
    [1] McKinsey Global Institute. (2024)...

    Footnote Style:

    Studies show 40% productivity improvement^1
    
    ^1: McKinsey Global Institute. (2024)...

    Maintain a running citations list:

    ## References
    
    1. Author. (Year). "Title". Publication.
    2. Author. (Year). "Title". Publication.
    ...
  8. Final Review and Polish

    When draft is complete, provide comprehensive feedback:

    # Full Draft Review
    
    ## Overall Assessment
    
    **Strengths**:
    - [Major strength 1]
    - [Major strength 2]
    - [Major strength 3]
    
    **Impact**: [Overall effectiveness assessment]
    
    ## Structure & Flow
    - [Comments on organization]
    - [Transition quality]
    - [Pacing assessment]
    
    ## Content Quality
    - [Argument strength]
    - [Evidence sufficiency]
    - [Example effectiveness]
    
    ## Technical Quality
    - Grammar and mechanics: [assessment]
    - Consistency: [assessment]
    - Citations: [completeness check]
    
    ## Readability
    - Clarity score: [evaluation]
    - Sentence variety: [evaluation]
    - Paragraph length: [evaluation]
    
    ## Final Polish Suggestions
    
    1. **Introduction**: [Specific improvements]
    2. **Body**: [Specific improvements]
    3. **Conclusion**: [Specific improvements]
    4. **Title**: [Options if needed]
    
    ## Pre-Publish Checklist
    - [ ] All claims sourced
    - [ ] Citations formatted
    - [ ] Examples clear
    - [ ] Transitions smooth
    - [ ] Call to action present
    - [ ] Proofread for typos
    
    Ready to publish! 🚀

Examples

Example 1: Teresa Torres's Workflow

User: "I'm writing an article about continuous discovery. Help me create an outline."

Process:

  1. Collaborates on outline structure
  2. Identifies research needs
  3. User starts writing introduction
  4. Reviews and improves the hook
  5. User writes each section
  6. Provides feedback after each section
  7. Conducts research and adds citations
  8. Final review of complete draft
  9. Polish and prep for publishing

Result: Well-researched, properly cited article written in Teresa's voice with strong structure and flow.

Example 2: Research-Heavy Article

User: "I'm writing about AI's impact on product management. Help me find current data and examples."

Output:

## Research Compiled

### Recent Data
- Gartner: 80% of PMs will use AI tools by 2025 [1]
- Survey: 45% report faster feature shipping [2]
- Case study: Airbnb's AI-assisted prioritization [3]

### Expert Quotes
- "AI amplifies PM judgment, not replaces it" - Marty Cagan
- [Additional quotes with citations]

### Real Examples
1. **Company A**: Used AI for user research synthesis
   - Result: 60% time savings
   - Source: [citation]

2. **Company B**: AI-powered roadmap analysis
   - Result: Better stakeholder alignment
   - Source: [citation]

All added to your outline with proper citations.

Example 3: Hook Improvement

User's Original Hook:

"Product management is changing because of AI. In this article, I'll discuss some ways AI affects product managers."

Improved Options:

Option 1 (Data-driven):

"Last month, I asked AI to analyze 500 customer interviews. It took 30 minutes instead of 3 weeks. Product management will never be the same."

Option 2 (Question):

"What if you could talk to every customer, read every review, and analyze every support ticket—all before your morning coffee?"

Option 3 (Story):

"Sarah spent two weeks building the wrong feature. Not because she didn't understand her users, but because she couldn't process the hundreds of interviews fast enough to spot the pattern."

Example 4: Section Feedback

User: "Just finished my 'Common Mistakes' section. Thoughts?"

Response:

# Feedback: Common Mistakes Section

## What Works Well ✓
- Strong examples (the Slack notification story)
- Clear structure (3 mistakes, clean layout)
- Practical advice for each mistake

## Suggestions

### Make It More Specific
Your second point says "Bad prioritization" but could be stronger:

Current:
> "Many teams prioritize badly by focusing on features instead of outcomes."

Suggested:
> "I've watched teams ship 14 features in a quarter yet move none of their key metrics. They prioritized activity over progress."

### Add Data
The third mistake would benefit from evidence:
> "[Add citation]: Studies show teams without regular user contact are 3x more likely to build unused features [needs source]"

### Flow Improvement
Consider reordering: Mistake 3 → Mistake 2 → Mistake 1
This builds from small to big impact.

Ready for the next section!

Writing Workflows

Blog Post Workflow

  1. Outline together
  2. Research key points
  3. Write introduction → get feedback
  4. Write body sections → feedback each
  5. Write conclusion → final review
  6. Polish and edit

Newsletter Workflow

  1. Discuss hook ideas
  2. Quick outline (shorter format)
  3. Draft in one session
  4. Review for clarity and links
  5. Quick polish

Technical Tutorial Workflow

  1. Outline steps
  2. Write code examples
  3. Add explanations
  4. Test instructions
  5. Add troubleshooting section
  6. Final review for accuracy

Thought Leadership Workflow

  1. Brainstorm unique angle
  2. Research existing perspectives
  3. Develop your thesis
  4. Write with strong POV
  5. Add supporting evidence
  6. Craft compelling conclusion

Pro Tips

  1. Work in VS Code: Better than web Claude for long-form writing
  2. One section at a time: Get feedback incrementally
  3. Save research separately: Keep a research.md file
  4. Version your drafts: article-v1.md, article-v2.md, etc.
  5. Read aloud: Use feedback to identify clunky sentences
  6. Set deadlines: "I want to finish the draft today"
  7. Take breaks: Write, get feedback, pause, revise

File Organization

Recommended structure for writing projects:

~/writing/article-name/
├── outline.md          # Your outline
├── research.md         # All research and citations
├── draft-v1.md         # First draft
├── draft-v2.md         # Revised draft
├── final.md            # Publication-ready
├── feedback.md         # Collected feedback
└── sources/            # Reference materials
    ├── study1.pdf
    └── article2.md

Best Practices

For Research

  • Verify sources before citing
  • Use recent data when possible
  • Balance different perspectives
  • Link to original sources

For Feedback

  • Be specific about what you want: "Is this too technical?"
  • Share your concerns: "I'm worried this section drags"
  • Ask questions: "Does this flow logically?"
  • Request alternatives: "What's another way to explain this?"

For Voice

  • Share examples of your writing
  • Specify tone preferences
  • Point out good matches: "That sounds like me!"
  • Flag mismatches: "Too formal for my style"

Related Use Cases

  • Creating social media posts from articles
  • Adapting content for different audiences
  • Writing email newsletters
  • Drafting technical documentation
  • Creating presentation content
  • Writing case studies
  • Developing course outlines

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.